About the Role: We’re looking for an innovative ML Engineer to join our AI team and help design, prototype, and operationalize advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, MCP services, and agentic workflows. You’ll work closely with Python Developers and MLOps Engineers to bring AI-powered features from concept to production.
Key Responsibilities: — Design, prototype, and iterate on AI models, RAG pipelines, MCP services, and agentic reasoning systems. — Develop AI-powered services using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, Haystack, and DSPy. — Build and optimize prompts for AI-driven tasks like chat, summarization, information extraction, and decision support. — Integrate and tune vector databases (e.g., Chroma, FAISS, Pinecone, Qdrant) to optimize vector search workflows. — Collaborate with Python Developers to define service interfaces, APIs, and operational requirements. — Implement task decomposition, memory management, and tool-use strategies within agentic systems. — Monitor AI system performance, operational risks, and prompt evaluation metrics. — Stay current with emerging AI frameworks, architectures, and best practices in AI observability and evaluation.
Required Skills & Experience: — Strong Python development skills with an emphasis on clean, scalable, and modular code. — Hands-on experience working with LLMs and agent frameworks. — Solid understanding of RAG architecture, vector search concepts (cosine similarity, MMR, late interaction), and system design. — Experience building multi-step agentic workflows and reasoning systems. — Familiarity with AI performance metrics, model drift detection, and operational monitoring. — Awareness of AI limitations, including latency, hallucination risks, and explainability challenges. — Experience with DSPy or other prompt optimization tools is a plus. — A curious, experimental mindset with a passion for testing emerging AI tools and frameworks. — Bachelor’s degree in Computer Science or equivalent — preferred.
Why Join Us: — Flexible Work Environment: Benefit from remote work options and a work-life balance that suits your lifestyle — Collaborative Culture: Join a team that values open communication, teamwork, and continuous learning — Professional Growth: Support your growth with covered professional courses, ongoing learning opportunities, and clear paths for career development — Technological Expertise: Our technical team is always keeping up with new technologies, so we are open to experiments and new approaches — Generous Benefits: Take advantage of paid vacation, sick leaves, and holidays to recharge and maintain your well-being — Global Exposure: Work on exciting projects with an international focus, primarily serving the Western European and USA markets
